CN116734665A - Simulated training analysis system for light weapon shooting - Google Patents
Simulated training analysis system for light weapon shooting Download PDFInfo
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- CN116734665A CN116734665A CN202310996011.9A CN202310996011A CN116734665A CN 116734665 A CN116734665 A CN 116734665A CN 202310996011 A CN202310996011 A CN 202310996011A CN 116734665 A CN116734665 A CN 116734665A
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- 238000012549 training Methods 0.000 title claims abstract description 140
- 238000004458 analytical method Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 claims abstract description 27
- 238000010972 statistical evaluation Methods 0.000 claims abstract description 25
- 238000011156 evaluation Methods 0.000 claims abstract description 14
- 238000010219 correlation analysis Methods 0.000 claims abstract description 13
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000004088 simulation Methods 0.000 claims description 14
- 239000006185 dispersion Substances 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims 1
- 230000006698 induction Effects 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F41—WEAPONS
- F41A—FUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
- F41A33/00—Adaptations for training; Gun simulators
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- Electrically Operated Instructional Devices (AREA)
Abstract
The invention relates to the technical field of intelligent analysis, in particular to a training analysis system for simulating light weapon shooting, which comprises: automatic target reporting module: the automatic target reporting device is used for automatically reporting targets according to the training results of the user; the process analysis module: the training data analysis module is used for analyzing training data of the user; and a statistical evaluation module: the system is used for carrying out statistical evaluation according to the analysis result; and the voice broadcasting module is used for: the method is used for voice broadcasting statistical evaluation results; and the tracing playback module is used for: and the method is used for tracing playback according to the user instruction. The invention provides a simulated training analysis system for light weapon shooting, which can analyze and evaluate training data of a user through a drop point precision function, so that shooting characteristics of the user can be better known. And carrying out correlation analysis and evaluation on the user training data through the calculation of the Pearson correlation coefficient. Accurate analysis and evaluation are provided for user training, and reference is provided for later training emphasis of the user. Can improve the training benefit of shooting training and provide powerful support for training the army according to the line.
Description
Technical Field
The invention relates to the technical field of intelligent analysis, in particular to a simulated training analysis system for light weapon shooting.
Background
The target body of the shooting analysis system of the new generation adopts an advanced laser array recognition mode, so that the synchronous analysis data of the system is more accurate and intelligent while the recognition precision is improved. However, in the prior art, the training accuracy is improved, analysis and evaluation of training data are omitted, and a comparison reference of the training data cannot be provided for a user. In order to solve the existing problems of shooting training and perfect a simulated shooting training system, the invention provides a simulated training analysis system for light weapon shooting, which is used for analyzing and evaluating training data of a user through a drop point precision function and can better know shooting characteristics of the user. And carrying out correlation analysis and evaluation on the user training data through the calculation of the Pearson correlation coefficient. Accurate analysis and evaluation are provided for user training, and reference is provided for later training emphasis of the user.
Disclosure of Invention
The invention aims to solve the defects in the background technology by providing a light weapon shooting simulation training analysis system.
The technical scheme adopted by the invention is as follows:
providing a firearm shooting simulation training analysis system comprising:
automatic target reporting module: the automatic target reporting device is used for automatically reporting targets according to the training results of the user;
the process analysis module: the training data analysis module is used for analyzing training data of the user;
and a statistical evaluation module: the system is used for carrying out statistical evaluation according to the analysis result;
and the voice broadcasting module is used for: the method is used for voice broadcasting statistical evaluation results;
and the tracing playback module is used for: and the method is used for tracing playback according to the user instruction.
As a preferred technical scheme of the invention: the system also comprises a display terminal module which is used for controlling the system to be started, shut down and self-check during the starting, and displaying the evaluation statistical result of the statistical evaluation module on the training data.
As a preferred technical scheme of the invention: the display terminal module is also connected with a terminal monitoring module, and the terminal monitoring module monitors and displays the on-off state and the training state of the current terminal.
As a preferred technical scheme of the invention: the automatic target reporting module acquires and broadcasts training data on the intelligent integrated target surface in a wireless acquisition mode.
As a preferred technical scheme of the invention: the process analysis module performs data normalization processing on the collected training data:
；
wherein ,for normalized training data, ++>For the training data collected +.>Is->The corresponding training data average value is used for generating a training data average value,is->Training the variance with the corresponding data;
；
wherein ,is the number of training data collected.
As a preferred technical scheme of the invention: the process analysis module analyzes shooting precision of training data based on the falling point deviation function, performs correlation analysis among different kinds of training data through calculation of the Pearson correlation coefficient, and performs inspection through calculation of the confidence interval.
As a preferred technical scheme of the invention: the drop point deviation function is specifically as follows:
；
wherein , and />X-direction and Y-direction on the target, respectively,/->For the falling point deviation function +.>、/> and />、/>Dispersion deviation and expectation of training data in the X-direction and the Y-direction, respectively.
As a preferred technical scheme of the invention: the pearson correlation coefficient is calculated as follows:
；
wherein ,is->Class and->Correlation coefficient value of class training data,>、/>are all the first parts of the collection>Personal->Class and->Training data of class->、/>All are->Class and->Mean value of class training data,/->The number of training data collected;
the confidence interval calculates the probability that the training data falls around the training data mean value：
；
wherein ,is a standard normal distribution corresponding value, +.>For confidence level->For training data->Is>Is a level of significance;
obtaining a confidence interval:
；
and checking the correlation analysis result by using the confidence interval.
As a preferred technical scheme of the invention: and the statistical evaluation module performs statistical evaluation according to the analysis result and the historical analysis result of the process analysis module, and broadcasts the statistical evaluation result through the voice broadcast module.
As a preferred technical scheme of the invention: and the traceability playback module collects traceability playback data through the terminal monitoring module according to the user instruction.
Compared with the prior art, the simulated training analysis system for the light weapon shooting has the beneficial effects that:
the invention provides a simulated training analysis system for light weapon shooting, which can analyze and evaluate training data of a user through a drop point precision function, so that shooting characteristics of the user can be better known. And carrying out correlation analysis and evaluation on the user training data through the calculation of the Pearson correlation coefficient. Accurate analysis and evaluation are provided for user training, and reference is provided for later training emphasis of the user. Can improve the training benefit of shooting training and provide powerful support for training the army according to the line.
Drawings
Fig. 1 is a system block diagram of a preferred embodiment of the present invention.
The meaning of each label in the figure is: 100. an automatic target reporting module; 200. a process analysis module; 300. a statistics evaluation module; 400. a voice broadcasting module; 500. a traceability playback module; 600. a display terminal module; 700. and the terminal monitoring module.
Detailed Description
It should be noted that, under the condition of no conflict, the embodiments of the present embodiments and features in the embodiments may be combined with each other, and the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to FIG. 1, a preferred embodiment of the present invention provides a firearm shooting simulation training analysis system comprising:
automatic target reporting module 100: the automatic target reporting device is used for automatically reporting targets according to the training results of the user;
process analysis module 200: the training data analysis module is used for analyzing training data of the user;
statistical evaluation module 300: the system is used for carrying out statistical evaluation according to the analysis result;
voice broadcast module 400: the method is used for voice broadcasting statistical evaluation results;
trace source playback module 500: and the method is used for tracing playback according to the user instruction.
The system also comprises a display terminal module 600, which is used for controlling the system to be started, shut down and self-check during the starting, and displaying the evaluation statistical result of the training data by the statistical evaluation module 300.
The display terminal module 600 is further connected to a terminal monitoring module 700, and the terminal monitoring module 700 monitors and displays the on-off state and the training state of the current terminal.
The automatic target reporting module 100 acquires and broadcasts training data on the intelligent integrated target surface in a wireless acquisition mode.
The process analysis module 200 performs data normalization processing on the collected training data:
；
wherein ,for normalized training data, ++>For the training data collected +.>Is->The corresponding training data average value is used for generating a training data average value,is->Training the variance with the corresponding data;
；
wherein ,is the number of training data collected.
The process analysis module 200 analyzes the shooting accuracy of the training data based on the falling point deviation function, performs correlation analysis between different kinds of training data through calculation of pearson correlation coefficients, and performs verification through calculation of confidence intervals.
The drop point deviation function is specifically as follows:
；
wherein , and />X-direction and Y-direction on the target, respectively,/->For the falling point deviation function +.>、/> and />、/>Dispersion deviation and expectation of training data in the X-direction and the Y-direction, respectively.
The pearson correlation coefficient is calculated as follows:
；
wherein , is->Class and->Correlation coefficient value of class training data,>、/>are all the first parts of the collection>Personal->Class and->Training data of class->、/>All are->Class and->Mean value of class training data,/->The number of training data collected;
the confidence interval calculates the probability that the training data falls around the training data mean value：
；
wherein ,is a standard normal distribution corresponding value, +.>For confidence level->For training data->Is>Is a level of significance;
obtaining a confidence interval:
；
and checking the correlation analysis result by using the confidence interval.
The statistical evaluation module 300 performs statistical evaluation according to the analysis result and the historical analysis result of the process analysis module 200, and performs broadcasting of the statistical evaluation result through the voice broadcasting module 400.
The traceability playback module 500 collects traceability playback data through the terminal monitoring module 700 according to a user instruction.
In the embodiment, the intelligent integrated target surface takes a chest ring target, a half body target, a head target and a side body target which are commonly used in a pistol and an automatic rifle as templates, and the full-area array induction target surface capable of receiving and feeding back laser points is independently researched and developed. The portable laser device consists of a detachable target surface, a vertical rod, a base, a laser induction array, a lithium battery power supply unit, a wireless communication device and the like. The intelligent integrated target rod, the target surface and the laser transmitter are connected with a power supply, the display terminal module 600 performs equipment starting operation, the system performs self-checking after starting, clicks a shooting simulation training analysis system icon, enters a target analysis interface, and completes starting of the control terminal. After starting, the calibration of the laser transmitter is carried out through adjusting the calibration screw, such as a 95-type laser transmitter, the calibration is carried out through adjusting the upper side adjustment screw and the right side adjustment screw, and the calibration is carried out through adjusting the upper left lower adjustment screw and the right lower adjustment screw of the 92-type laser transmitter.
The process analysis module 200 pulls the laser emitter gun machine to feed the bullet to bore after the display terminal module 600 is started, and the system can enter a normal shooting simulation training state. The process analysis module 200 collects training data of ten target shooting trains of 50 meters on the fourth device, and normalizes the collected training data:
；
wherein ,for normalized training data, ++>For the training data collected +.>Is->Corresponding training data means.
The process analysis module also analyzes shooting precision according to the position of the normalized training data on the target surface:
；
wherein , and />X-direction and Y-direction on the target, respectively,/->For the falling point deviation function +.>、/> and />、/>Dispersion deviation and expectation of training data in the X-direction and the Y-direction, respectively.
The process analysis module 200 also performs correlation analysis between different kinds of training data based on the calculation of the pearson coefficients:
；
wherein ,is->Class and->Correlation coefficient value of class training data,>、/>are all the first parts of the collection>Personal->Class and->Training data of class->、/>All are->Class and->Mean value of class training data,/->Is the number of training data collected.
And checked by calculating confidence intervals.
The confidence interval calculates the probability that the training data falls around the training data mean:
；
wherein ,is the corresponding value of the standard normal distribution table, < >>For confidence level->For training data->Is>For the mean value of the training data entered, +.>Is a level of significance, usually 0.05 is used as a test. Because the occurrence probability meets the normal distribution, the interval limit can be calculated by using the standard deviation and the normal distribution table, the created average value is taken as the center, the left and right are taken as the threshold intervals, the occurrence rate of the data falling in the normal distribution probability interval meets the confidence rate, and the confidence interval is obtained as follows:
；
and checking the correlation analysis result by using the confidence interval.
The pearson correlation coefficient and the confidence interval can be used for carrying out correlation analysis on the target surface falling point, or carrying out correlation analysis on the grading value and the shooting times. Taking the former as an example, the x-axis coordinate and the y-axis coordinate are set as the x-class training data and the y-class training data, respectively, to analyze and examine.
The statistics evaluation module 300 performs statistics and evaluation of the user training data according to the analysis result of the process analysis module 200 and according to the historical analysis data, for example, the training score exceeds 95% of the current statistics user score, and performs evaluation, and performs voice broadcasting through the voice broadcasting module 400.
The display terminal module 600 displays the analysis result of the statistical evaluation module 300. The display terminal module 600 is further connected to the terminal monitoring module 700, monitors and displays the on-off state of each current device, and the user can select an idle device for training according to the monitoring data of the current terminal monitoring module 700. The user can also extract training playback data through the traceability playback module 500, and the traceability playback module 500 collects the traceability playback data in the user instruction through the terminal monitoring module 700 according to the user instruction.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (10)
1. The simulated training analysis system for light weapon shooting is characterized in that: comprising the following steps:
automatic target reporting module (100): the automatic target reporting device is used for automatically reporting targets according to the training results of the user;
process analysis module (200): the training data analysis module is used for analyzing training data of the user;
statistical evaluation module (300): the system is used for carrying out statistical evaluation according to the analysis result;
voice broadcast module (400): the method is used for voice broadcasting statistical evaluation results;
trace-source playback module (500): and the method is used for tracing playback according to the user instruction.
2. The firearm shooting simulation training analysis system of claim 1, wherein: the system also comprises a display terminal module (600) which is used for controlling the system to be started, shut down and self-check during the starting, and displaying the evaluation statistical result of the statistical evaluation module (300) on the training data.
3. The firearm shooting simulation training analysis system of claim 2, wherein: the display terminal module (600) is also connected with the terminal monitoring module (700), and the terminal monitoring module (700) monitors and displays the on-off state and the training state of the current terminal.
4. The firearm shooting simulation training analysis system of claim 1, wherein: the automatic target reporting module (100) acquires and broadcasts training data on the intelligent integrated target surface in a wireless acquisition mode.
5. The firearm shooting simulation training analysis system of claim 1, wherein: the process analysis module (200) performs data normalization processing on the collected training data:
；
wherein ,for normalized training data, ++>For the training data collected +.>Is->The corresponding training data average value is used for generating a training data average value,is->Training the variance with the corresponding data;
；
wherein ,is the number of training data collected.
6. The firearm shooting simulation training analysis system in accordance with claim 5, wherein: the process analysis module (200) analyzes shooting precision of training data based on the falling point deviation function, performs correlation analysis among different kinds of training data through calculation of pearson correlation coefficients, and performs detection through calculation of confidence intervals.
7. The firearm shooting simulation training analysis system in accordance with claim 6, wherein: the drop point deviation function is specifically as follows:
；
wherein , and />X-direction and Y-direction on the target, respectively,/->For the falling point deviation function +.>、/> and />、Dispersion deviation and expectation of training data in the X-direction and the Y-direction, respectively.
8. The firearm shooting simulation training analysis system in accordance with claim 6, wherein: the pearson correlation coefficient is calculated as follows:
；
wherein ,is->Class and->Correlation coefficient value of class training data,>、/>are all the first parts of the collection>Personal->Class and classTraining data of class->、/>All are->Class and->Mean value of class training data,/->The number of training data collected;
the confidence interval calculates the probability that the training data falls around the training data mean value：
；
wherein ,is a standard normal distribution corresponding value, +.>For confidence level->For training data->Is>Is a level of significance;
obtaining a confidence interval:
；
and checking the correlation analysis result by using the confidence interval.
9. The firearm shooting simulation training analysis system in accordance with claim 8, wherein: the statistical evaluation module (300) performs statistical evaluation according to the analysis result and the historical analysis result of the process analysis module (200), and broadcasts the statistical evaluation result through the voice broadcast module (400).
10. A firearm shooting simulation training analysis system in accordance with claim 3, wherein: the traceability playback module (500) collects traceability playback data through the terminal monitoring module (700) according to a user instruction.
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| CN202310996011.9A CN116734665A (en) | 2023-08-09 | 2023-08-09 | Simulated training analysis system for light weapon shooting |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520664A (en) * | 2018-03-28 | 2018-09-11 | 北京华如科技股份有限公司 | Land sky armed forces in real combat actual load dual training system |
| CN108920827A (en) * | 2018-07-03 | 2018-11-30 | 中国人民解放军陆军装甲兵学院 | Burst-firing hit rate test method |
| KR102437045B1 (en) * | 2021-02-19 | 2022-08-29 | 엘아이지넥스원 주식회사 | Training system and control method for CIWS |
| CN115067900A (en) * | 2022-06-20 | 2022-09-20 | 中国人民解放军陆军工程大学 | Physical monitoring and analyzing method for firing practice |
| CN116431993A (en) * | 2023-06-14 | 2023-07-14 | 长沙润伟机电科技有限责任公司 | Flying saucer shooting score statistical analysis system |
-
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- 2023-08-09 CN CN202310996011.9A patent/CN116734665A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108520664A (en) * | 2018-03-28 | 2018-09-11 | 北京华如科技股份有限公司 | Land sky armed forces in real combat actual load dual training system |
| CN108920827A (en) * | 2018-07-03 | 2018-11-30 | 中国人民解放军陆军装甲兵学院 | Burst-firing hit rate test method |
| KR102437045B1 (en) * | 2021-02-19 | 2022-08-29 | 엘아이지넥스원 주식회사 | Training system and control method for CIWS |
| CN115067900A (en) * | 2022-06-20 | 2022-09-20 | 中国人民解放军陆军工程大学 | Physical monitoring and analyzing method for firing practice |
| CN116431993A (en) * | 2023-06-14 | 2023-07-14 | 长沙润伟机电科技有限责任公司 | Flying saucer shooting score statistical analysis system |
Non-Patent Citations (1)
| Title |
|---|
| 王震等: "计算机视觉辅助训练系统研究――以射击类项目为例", 《西北大学学报(自然科学版)》, vol. 43, no. 04, pages 563 - 567 * |
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Application publication date: 20230912 |